Probabilistic Reasoning in Multiagent Systems - A Graphical Models Approach (Paperback)

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	June 2010
First published:	July 2010
Authors:	Yang Xiang
Dimensions:	244 x 170 x 16mm (L x W x T)
Format:	Paperback - Trade
Pages:	308
ISBN-13:	978-0-521-15390-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Promotions
LSN:	0-521-15390-5
Barcode:	9780521153904

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